Job description Job Description At Blend360, we help people use data to serve the customer. The Customer Insights team works directly with some of the world s most loved consumer brands, and as an analyst you will lead our clients and prospects as an expert in using, understanding, and acting on customer data. You ll call on your business knowledge and deep technical expertise to unlock powerful insights from a wide range of industries. And you ll accelerate speed to value by creating the framework to scale your most impactful analyses with our internal teams and external users. What you ll be doing Develop customer-centric analyses and solve challenging problems from a variety of consumer verticals. Consult with leaders from major consumer brands to identify trends, opportunities, and valuable segments that help them drive and measure incremental growth. Support GTM team s selling motion with your deep analytics expertise, generating insights that showcase the value from Customer Data Platforms (such as Amperity, Segment, Redpoint, etc.) Build scalable methodology and tools to accelerate the analytics motion. Collaborate with different Departments for data requests build solutions that automate daily tasks thereby saving man hours. Build data pipelines for data extraction, cleaning, transforming, feature extraction, and machine learning Build KPIs/metrics by applying data transformation techniques such as aggregation, resampling, filtering etc. Comprehension of reports, visualization of data in the form of plots, generate reports using BI tools, develop live updating dashboards. Qualifications Minimum 3 years experience in a consulting, business analytics, or data science role, preferably working with customer behaviour data for a direct-to-consumer business Role: Data Analyst Industry Type: Advertising & Marketing Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer languagesReport generationdata scienceSenior AnalystBusiness analyticsMachine learningStatisticsSQLData extractionPython

Job description Key Responsibilities of this position include:Build and maintain robust scalable data processing pipelines in Microsoft AzureOptimize data ingestion process for better reliability and throughputDevelop subject matter expertise in the various data models / data sources required for advanced analytics and reportingConduct exploratory data analysis on data source to assess suitability for predictive modeling project objectsCurate datasets for Data Scientist partners for analysis machine learning and AI modelsAs needed, design and develop data models for analyticsDrive data architecture design decisions considering future growthEngage and communicate effectively across diverse disciplines (Business Unit Leaders, Corporate Underwriting and Actuarial) to collect data requirementsWork closely with data scientists to understand their objectives and translate to ensure architectural fitBuild and maintain robust scalable data processing pipelines in Microsoft AzureOptimize data ingestion processes for better reliability and throughput Qualifications Successful candidates should possess the following skills/capabilities:Bachelors degree (MS preferred) in Computer Science, Statistics, Math or equivalent combination of education and experience3 - 5 years of exper Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceMS SQLData analysisData modelingAnalyticalMachine learningData processingmicrosoftPythonData architecture

Job description Role Overview: We are looking for an exceptional instructor to build the foundational quantitative capabilities of our students. This role demands a deep and nuanced understanding of advanced mathematics, probability, statistics, and stochastic processes, and the ability to convey these complex concepts with clarity and precision. You will be instrumental in laying the analytical bedrock for all quantitative finance careers. Key Responsibilities: Deliver live, engaging online classes on advanced mathematical concepts, probability theory, statistical inference, and time series analysis. Explain complex topics such as linear algebra, multivariable calculus, optimization, numerical methods, Bayesian statistics, ARIMA/GARCH models, and stochastic calculus (e.g., Ito's Lemma, SDEs) with exemplary clarity. Guide students through rigorous problem-solving, derivations, and statistical analyses, ensuring a deep conceptual and practical understanding. Foster a highly disciplined and interactive learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Core Mathematics: Linear algebra, multivariable calculus, real analysis, optimization theory, numerical methods, optimization algorithms. Probability & Statistical Inference: Probability theory, statistical inference, hypothesis testing, Bayesian statistics. Time Series Analysis: ARIMA models, GARCH models, cointegration, Vector Autoregression (VAR). Advanced Statistical Techniques: Regression analysis, principal component analysis, Monte Carlo methods, extreme value theory, copulas, survival analysis. Stochastic Calculus: Ito's lemma, Brownian motion, stochastic differential equations, partial differential equations, measure theory, martingale theory. Data Experimentation & Signal Processing: Causal inference, A/B testing, experimental design, signal detection, regime change detection, correlation analysis. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, or a closely related highly quantitative field. Experience: Proven experience in applying advanced mathematics, probability, and statistics in academic research, quantitative finance, or a related analytical domain. We value both experienced educators and talented freshers with exceptional academic records and demonstrable project experience. Domain Expertise: Possess an extremely strong and expert-level understanding of the theoretical and applied aspects of advanced mathematics, statistics, and stochastic processes relevant to quantitative finance. Exceptional Communication Skills: Superior ability to articulate the most complex mathematical and statistical concepts clearly, concisely, and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and mathematical/statistical software (e.g., MATLAB, R, Python with scientific computing libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading, especially with Algorithmic Trading or broader Quant experience, is a mandatory requirement for all applicants. This ensures practical relevance and industry context. Application Requirement: To assess your teaching prowess and technical communication skills, all applicants must submit a sample teaching video of at least 30 minutes on any topic within Quantitative Foundations (Mathematics, Statistics & Stochastic Processes) that you are highly proficient in (e.g., explaining Ito's Lemma, demonstrating Bayesian inference, or breaking down GARCH models). This video should clearly demonstrate your ability to explain complex concepts, engage an audience, and showcase your depth of expertise, hard work, and disciplined approach to teaching. Role: Teaching & Training - Other Industry

Job description At Blend360, we help people use data to serve the customer. The Customer Insights team works directly with some of the world s most loved consumer brands, and as an analyst you will lead our clients and prospects as an expert in using, understanding, and acting on customer data. You ll call on your business knowledge and deep technical expertise to unlock powerful insights from a wide range of industries. And you ll accelerate speed to value by creating the framework to scale your most impactful analyses with our internal teams and external users. What you ll be doing Develop customer-centric analyses and solve challenging problems from a variety of consumer verticals. Consult with leaders from major consumer brands to identify trends, opportunities, and valuable segments that help them drive and measure incremental growth. Support GTM team s selling motion with your deep analytics expertise, generating insights that showcase the value from Customer Data Platforms (such as Amperity, Segment, Redpoint, etc.) Build scalable methodology and tools to accelerate the analytics motion. Collaborate with different Departments for data requests build solutions that automate daily tasks thereby saving man hours. Build data pipelines for data extraction, cleaning, transforming, feature extraction, and machine learning Build KPIs/metrics by applying data transformation techniques such as aggregation, resampling, filtering etc. Comprehension of reports, visualization of data in the form of plots, generate reports using BI tools, develop live updating dashboards. Minimum 3 years experience in a consulting, business analytics, or data science role, preferably working with customer behaviour data for a direct-to-consumer business Demonstrated ability Role: Data Analyst Industry Type: Industrial Automation Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer languagesReport generationdata scienceSenior AnalystBusiness analyticsMachine learningStatisticsSQLData extractionPython

Job description Job Summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. read more Key Skills algorithmspythondata analysismodelingpredictivejupyter notebookproblem solvingmachine learningdata sciencepycharmproduct developmentsciencestatistical modelingmodel developmentdata visualizationmachine learning algorithmsagile methodology

Job description Roles Responsibilities: Deep understanding of data , especially in retail banking , is essential FPM should have Data Assets Analytics with engineering background having worked on Azure cloud and familiar with Python Strong knowledge of financial institutions , particularly large MNCs and retail business environments Extensive project management experience , with a track record of managing large, complex, global change projects (minimum 8 10 years in a PM role) Strong stakeholder management skills from executive committee (ExCo) level to analysts with impactful communication Proven ability to deliver projects on time and within budget , achieving business outcomes with meticulous attention to detail and a solution-driven mindset Hands-on experience applying Agile methodologies in project and product development Familiarity with HSBC standards and processes is preferred Agile certifications (e.g., SAFe) are a plus Excellent written, verbal, and presentation skills Successful track record in global matrix organizations Proficient in spoken and written English Azur Cloud Services, Banking Finance, Agile, Data Analysis, Project Managers, Python Role: Analytics / BI Manager Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Data analysisCloud ServicesProject managementRetail bankingBankingAgileStakeholder managementAnalyticsPythonRetail business

Job description ECMS Req # 526548 Role Sr. Consultant Number of Openings 1 Duration of project 6 Months No of years experience 8 to 10 yrs Detailed job description - Skill Set: 8+ years of experience in Database and Data warehouse tech (Azure Synapse/ADB, ADF/SQL Server/SAP HANA), Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, Spark, SQL Experience with Power Shell Scripting Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making Performs Data mining which provides actionable data in response to changing business requirements. Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Role: Sr. Consultant Industry Type: IT Services & Consulting Department: Consulting Employment Type: Full Time, Permanent Role Category: Management Consulting Education UG: Any Graduate PG: Any Postgraduate Key Skills Statistical analysisPowershellShell scriptingBillingData analyticsData miningsap hanaData warehousingSQLPython

Job description We are seeking an experienced Advanced Analytics Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and framework Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 8+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Role: Analytics / BI Manager Industry Type: Advertising & Marketing Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Logistic regressionData managementBusiness analyticsAnalyticalMachin

Job description About Tarento: Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions. Were proud to be recognized as a Great Place to Work , a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose. Overview An Apache Superset Data Engineer is responsible for designing, building, and maintaining robust data pipelines and analytics frameworks, with a strong focus on data visualization and dashboarding using Apache Superset. This role bridges data engineering and business intelligence, ensuring that data is accessible, accurate, and actionable for stakeholders through interactive dashboards and reports. Key Responsibilities Design, develop, and optimize data pipelines to collect, process, and transform large structured and semi-structured datasets from multiple sources Build and maintain data warehouses and data marts, ensuring data is modeled for efficient querying and reporting Develop, customize, and maintain interactive dashboards and reports in Apache Superset for experimentation insights, KPI tracking, and business decision-making Collaborate with data analysts, business stakeholders, and BI teams to understand requirements and translate them into effective Superset dashboards and visualizations Ensure data quality through validation, feature engineering, and exploratory data analysis Monitor and analyze A/B testing results, providing actionable insights to optimize business strategies Implement and document standard processes for statistical testing, data quality, and analytics workflows Integrate Superset with various databases (MySQL, PostgreSQL, etc.) and manage database connections and drivers Support real-time and batch data processing using modern data engineering tools (e.g., Spark, Airflow, Python) Maintain and enhance the security, scalability, and performance of Superset deployments Communicate results and recommendations to both technical and non-technical stakeholders Required Skills and Qualifications Strong experience with Apache Superset for building dashboards, reports, and custom visualizations Proficiency in SQL and experience with RDBMS (MySQL, PostgreSQL, Oracle, etc.) Solid programming skills in Python (or R), with experience in data processing and automation Hands-on experience with data modeling, ETL/ELT pipelines, and data warehousing concepts Familiarity with big data tools and frameworks (e.g., Spark, Hadoop, Airflow) Experience working with cloud environments (AWS, Azure, GCP) is a plus Knowledge of data governance, data security, and access control best practices Strong analytical and problem-solving skills, with attention to detail and data quality Excellent communication skills, able to explain technical concepts to non-technical users Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationData modelingRDBMSMySQLOracleApacheBusiness intelligenceAnalyticsSQLPython

Job description Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: MIS Research(MIS RSRCH) Job Category: Engineering Technology Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Job Summary: We are seeking a highly skilled and motivated Automation Lead to join our Business Functional UAT . The ideal candidate will be responsible for automating a wide range of testing use cases, including, sanity, smoke, regression and performance testing and also building automating test cases pipeline for new features, bugs fixes, products platforms. This role requires a deep understanding of automation frameworks, testing methodologies, and a passion for improving testing efficiency and effectiveness. Skills and Competencies Experience : 5 8 years in QA automation implementation, with a strong track record of independently driving QA automation strategies and execution across business-critical applications. Technical Skills : Proficiency in automation tools such as Selenium, Tricentis Tosca , TestComplete or Cypress and familiarity with CI/CD pipelines (e.g., Jenkins, GitLab). Desirable : Exposure to AI-driven QA tools or frameworks (e.g., Testim, Mabl, Functionize) is preferred, especially for scaling intelligent test automation. Additional : Strong scripting skills in languages like Python, Java, or JavaScript, and experience integrating automation into UAT workflows from a business perspective. Familiarity with Agile and DevOps methodologies. Excellent Communication problem-solving skills and attention to detail. Ability to work independently and as part of a team in a fast-paced environment. Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. Role Responsibilities Lead the automation efforts within the Business Functional User Acceptance Testing [ UAT ] group, focusing on automating existing new features for sanity, smoke, regression, and performance testing for Research platforms products. Collaborate with cross-functional teams to understand testing requirements and develop comprehensive automation strategies. Design, develop, and maintain automated test scripts and frameworks to ensure high-quality software releases with effective guardrails. Identify and implement best practices for test automation, including the selection of appropriate tools and technologies. Continuously monitor and improve the performance of automated test suites to ensure they are efficient and reliable. Provide guidance and mentorship to junior team members on automation tools, best practices and techniques. Analyze test results, identify issues, and work with the development team to resolve them in a timely manner. Stay up-to-date with the latest trends and advancements in test automation and incorporate them into the testing process. About the team By joining the Business Functional User Acceptance Testing team, you will play a critical role in safeguarding the quality and reliability of Research platforms used by Moody s Ratings. Our team ensures that every product enhancement and bug fix is rigorously tested and validated before reaching production minimizing risk, preventing disruptions, and ensuring business continuity of our platforms for end users. You will contribute directly to the integrity of our ratings process by identifying and resolving issues early, enabling timely and accurate delivery of enhancements that support a